Generation of Individualized Treatment Decision Tree Algorithm with Application to Randomized Control Trials and Electronic Medical Record Data
With new treatments and novel technology available, personalized medicine has become a key topic in the new era of healthcare. Traditional statistical methods for personalized medicine and subgroup identification primarily focus on single treatment or two arm randomized control trials (RCTs). With r...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en_US |
| Published: |
The University of Arizona.
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10150/613559 http://arizona.openrepository.com/arizona/handle/10150/613559 |